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https://github.com/gesiscss/homophilic_directed_scalefree_networks

Inequalities in Homophilic Directed ScaleFree Networks
https://github.com/gesiscss/homophilic_directed_scalefree_networks

directed-graph homophily inequalities preferential-attachment python3 random-networks

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Inequalities in Homophilic Directed ScaleFree Networks

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README

        

# Homophilic & Directed scale-free networks
Inequality and Inequity in Network-based Ranking and Recommendation Algorithms

## Notebooks
| # | Description | Launch in Binder |
| :---: | :- | :---: |
| 1 | Example: Inquality and Inequity in ranking | [![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/Homophilic_Directed_ScaleFree_Networks/master?filepath=0.%20Toy-example.ipynb) |
| 2 | Datasets: Empirical metworks | [![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/Homophilic_Directed_ScaleFree_Networks/master?filepath=1.%20Empirical%20Networks.ipynb) |
| 3 | Model: Generating Random, DPA, DH and DPAH networks | [![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/Homophilic_Directed_ScaleFree_Networks/master?filepath=2.%20Synthetic%20Networks.ipynb) |
| 4 | Paper: Main plots | [![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/Homophilic_Directed_ScaleFree_Networks/master?filepath=3.%20Plots%20in%20paper.ipynb) |
| 5 | Paper: Supplementary material | [![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/Homophilic_Directed_ScaleFree_Networks/master?filepath=4.%20Supplementary%20material.ipynb) | |

## Publications
1. **Inequality and Inequity in Network-based Ranking and Recommendation Algorithms**
Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier and Fariba Karimi. Sci Rep 12, 2012 (2022). https://doi.org/10.1038/s41598-022-05434-1

2. **Towards Quantifying Sampling Bias in Network Inference.**
Lisette Espín-Noboa, Fariba Karimi, Markus Strohmaier and Claudia Wagner. In LatinX in AI workshop at ICML. https://icml.cc/virtual/2020//7094